Isabel Fabregat

11.2k citations
168 papers · 8.8k indexed · 2 hit papers · h-index 53

Impact in

Papers in

    • Liver physiology and pathology 72
    • Pancreatic and Hepatic Oncology Research 22
    • Cancer Cells and Metastasis 14

Isabel Fabregat

166 papers receiving 8.7k citations

Hit Papers

TGF‐β signalling and liver disease 2016 · 491 citations
4912004202620112018200400600

Peers

Isabel Fabregat
Comparison fields: 5 of 130
  • Hepatology 2.3k
  • Cancer Research 1.4k
  • Oncology 2.4k
  • Molecular Biology 4.8k
  • Immunology 1.1k
Replace Valentina M. Factor with:
Valentina M. Factor United States
Steven Dooley Germany
Satdarshan P. Monga United States
Leo A. van Grunsven Belgium
Jean S. Campbell United States
Lixin Wei China
Rebecca Taub United States
Wolfgang Mikulits Austria
Christine Perret France
Stephanie Ma Hong Kong
Isabel Fabregat relative to Valentina M. Factor United States Valentina M. Factor's profile →
Citations per field
00.5×
Valentina M. Factor · 1×
Citations per year

Countries citing papers authored by Isabel Fabregat

Since Specialization
Citations

This map shows the geographic impact of Isabel Fabregat's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Isabel Fabregat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabel Fabregat more than expected).

Fields of papers citing papers by Isabel Fabregat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Isabel Fabregat. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Isabel Fabregat. The network helps show where Isabel Fabregat may publish in the future.

Co-authors

The 25 scholars most cited alongside Isabel Fabregat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Isabel Fabregat Line = papers co-authored together Isabel Fabregat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20248
4 20241
5 20236
6 202312
7 202211
8 202212
9 202116
10 201931
11 20194
12 201814
13 201839
14 201859
15 201399
16 200999
17 200962
18 2007177
19 200666
20 199921

About Isabel Fabregat

Isabel Fabregat is a scholar working on Hepatology, Oncology, Biological Psychiatry, Molecular Biology and Cancer Research, having authored 168 papers that have together received 8.8k indexed citations. Recurring topics across this work include Liver physiology and pathology (72 papers), TGF-β signaling in diseases (34 papers), Pancreatic and Hepatic Oncology Research (22 papers), Pancreatic function and diabetes (16 papers), Cell death mechanisms and regulation (15 papers), Nitric Oxide and Endothelin Effects (14 papers), Cancer Cells and Metastasis (14 papers) and Organ Transplantation Techniques and Outcomes (12 papers). The work is most often cited by research in Hepatology (2.3k citations), Cancer Research (1.4k citations), Oncology (2.4k citations), Molecular Biology (4.8k citations) and Immunology (1.1k citations). Isabel Fabregat has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Aranzazu Sánchez, Manuel Benito, Margarita Fernández, Alberto Álvarez, Patricia Sancho, Cesáreo Roncero, Esther Bertrán, Laia Caja, Daniel Caballero‐Díaz and Blanca Herrera. Their work appears in journals such as Hepatology, Journal of Hepatology, Journal of Cellular Physiology, PLoS ONE and International Journal of Molecular Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026